24
outputs currently listed
METRINO open outputs library
Find the evidence behind METRINO’s results
A searchable overview of peer-reviewed articles, supporting datasets, public project deliverables and standardisation-related outputs connected to METRINO’s work on nanomedicine characterisation, reference materials and measurement comparability.
8
journal articles
10
supporting datasets
6
public reports & deliverables
Current records
24 records shown. Filter by WP, material, technique, year or type.
Nanomedicine Reference Material Roadmap
Resch-Genger U.; Poul L.; Sack F.; Parot J.; et al. Zenodo report, version v1, published 6 July 2026. DOI: 10.5281/zenodo.21227912. CC BY 4.0.
Why this matters: This strategic WP1 output consolidates METRINO’s experience in developing nanomedicine reference-material candidates and identifies priorities for future development, provision and measurement comparability.
SAXS Data, Processing Scripts, Fitting Scripts, and Analysis Results for Iron Oxide (IONP10) and Upconversion Nanoparticles (UCNP20) within MetrINo
Silva B.; Gerina M. Zenodo dataset, published 14 June 2026. DOI: 10.5281/zenodo.20684412. CC BY 4.0.
Why this matters: This Empa contribution makes the SAXS data, processing and fitting scripts, and analysis results for the IONP10 and UCNP20 candidates available for transparent inspection and reuse. It should not be read as a consolidated dataset from every WP1 partner.
Good practice guide for physical and chemical characterisation of nanomedicines
METRINO Deliverable D3. Version 1, published 13 July 2026. DOI: 10.5281/zenodo.21641655. CC BY 4.0.
Why this matters: D3 brings together nine tested procedures for particle size, number concentration and surface characterisation, alongside broader decision tables supporting method selection. The decision tables draw on wider project experience, so not every listed option has a dedicated SOP.
Protocols for sample preparation and measurement of nanoparticle stability and their biotransformation in biological matrices
LGC; LNE; University of Pavia; SMD; Empa; BAM; PTB. METRINO Deliverable D5, version 2, published 24 July 2026. DOI: 10.5281/zenodo.21536481. CC BY 4.0.
Why this matters: This public deliverable brings together protocols for matrix spiking, nanoparticle extraction and AF4-based fractionation in biological matrices. The record points to the corrected public version.
Good practice guide on validated protocols and SOPs of hyphenated fractionation methods of MONPs, LNPs and liposomes from liquid biological matrices
METRINO Deliverable D6. Version 1, published 28 July 2026. DOI: 10.5281/zenodo.21646537. CC BY 4.0.
Why this matters: D6 consolidates validated MD-AF4 and SEC protocols for lipid nanoparticles, liposomes and metal oxide nanoparticles, together with a complementary SAXS workflow for direct analysis in biological media. It reports performance evidence, critical operating parameters, applicability domains and limitations to support more reliable and comparable fractionation and characterisation across laboratories.
Protocols for tissue, tissue-phantom and cellular nanoparticle measurements
METRINO Deliverable D7. Version 1, published 30 April 2026. DOI: 10.5281/zenodo.21537147. CC BY 4.0.
Why this matters: D7 consolidates preparation and analytical SOPs for tissue phantoms, engineered models, cells and tissues, including approaches for nanoparticle uptake, distribution, localisation, imaging and quantification.
ILC report on the identification, localisation and quantification of inorganic nanoparticles in tissue phantom samples
METRINO Deliverable D8. Version 1, published 30 April 2026. DOI: 10.5281/zenodo.21641447. CC BY 4.0.
Why this matters: D8 provides the interlaboratory evidence supporting the WP4 pathway. It shows where complementary approaches converge, where they answer different questions and where practical limitations remain; it does not imply that every method is interchangeable or universally validated.
Liposomes and lipid nanoparticles: a tutorial for advanced chemical and structural characterisation
Minelli C.; Parot J.; Alasonati E.; Altskär A.; et al. European Journal of Pharmaceutical Sciences 222, 107556.
Why this matters: This METRINO tutorial compares complementary dimensional, structural and chemical methods across well-defined liposome and LNP systems. It shows why no single technique captures their full complexity and supports more robust method selection and future harmonisation.
Dataset for the paper: Liposomes and lipid nanoparticles: a tutorial for advanced chemical and structural characterisation
Minelli C.; Parot J.; Alasonati E.; Altskär A.; et al. Zenodo dataset, published 8 June 2026. DOI: 10.5281/zenodo.20595798. CC BY 4.0.
Why this matters: The dataset exposes the measurements underlying the tutorial’s comparison of liposome and LNP characterisation methods, strengthening traceability and enabling readers to inspect and reuse the supporting evidence.
Cross-validation of analytical methods for citrate ligand quantification on upconversion and iron oxide nanoparticles
Matiushkina A.; Brehme S.; Tavernaro I.; Andresen E.; et al. Analytical and Bioanalytical Chemistry 418, 5181–5191.
Why this matters: This METRINO-funded study cross-validates complementary approaches to citrate-ligand quantification and shows how method- and nanomaterial-specific effects can influence results. It supports more reliable surface characterisation through multimethod measurement schemes.
Effect of sampling volume on measurements of size and chemical homogeneity of MRI contrast agent FeraSpin™ R
Maceratesi V.; Doveri L. R.; Engel N.; Cantoni E.; et al. Nanoscale Advances 8, 3136–3150.
Why this matters: This METRINO study compares complementary particle-sizing measurands and shows why effective sampling volume and measurement length scale are especially important when interpreting chemical homogeneity in a complex nanomedicine formulation.
Dataset for “Effect of sampling volume on measurements of size and chemical homogeneity of MRI contrast agent FeraSpin™ R”
Maceratesi V.; Doveri L. R.; Engel N.; Cantoni E.; et al. Zenodo dataset, version 1, published 10 February 2026. DOI: 10.5281/zenodo.20465258.
Why this matters: This 5 MB dataset exposes the measurements underlying the associated METRINO paper, allowing readers to inspect and reuse the evidence behind its comparison of sizing and chemical-homogeneity approaches.
AF4-UV-MALS size distribution evaluations of iron oxide nanoparticle samples (IONP): retention time approaches
Caebergs T.; de Carsalade du Pont V.; Matiushkina A. Zenodo dataset.
Why this matters: The dataset documents retention-time approaches for estimating the size distribution of small iron oxide nanoparticles when the MALS signal provides limited size information.
Self-limited clustering of nanoparticles through electrostatic stabilisation at the cluster scale: dataset
Sapalidis D.; Andresen E.; Matiushkina A.; Resch-Genger U.; Neels A.; Silva B. F. B. Zenodo dataset.
Why this matters: These processed SAXS and DLS data support research on cluster formation and electrostatic stabilisation in upconversion nanoparticle systems.
22HLT04 EURAMET METRINO Deliverable 8 Correlative Imaging Comparison Data
Mortati L.; Nikolić M.; Sjövall P. Zenodo dataset.
Why this matters: This consolidated dataset supports comparison between TPEF, LA-ICP-MS and ToF-SIMS measurements on UCNP calibrators and 3D cell-tissue models.
METRINO: LA-ICP-MS elemental mapping data (D8)
Van Acker T.; Vanhaecke F. Zenodo dataset.
Why this matters: This method-specific dataset makes the LA-ICP-MS elemental mapping component of the WP4 correlative imaging work available for reuse and inspection.
METRINO D8 Table 11 raw data
Gogos A.; Bottone D. Zenodo dataset.
Why this matters: This record provides the raw data used for Table 11 of METRINO Deliverable D8, supporting traceability from the reported comparison back to the underlying measurements.
Discrete Entity Analysis via Microwave-Induced Nitrogen Plasma–Mass Spectrometry in Single-Event Mode
Rua-Ibarz A.; Nakadi F. V.; Bolea-Fernandez E.; Bazo A.; et al. Analytical Chemistry 97, 24065–24072.
Why this matters: This project-linked publication acknowledges METRINO funding and evaluates single-event MINP-MS for discrete entities including iron oxide nanoparticles, cells and microplastics. It is included as METRINO-supported research, not as a flagship output assigned to a specific WP.
Raw data and calculated values for Gerken et al., Analytical Methods, 2025, 17, 5334
Gogos A.; Gerken L. Zenodo dataset.
Why this matters: This record provides the raw elemental-analysis data and recovery calculations underlying the METRINO paper on HF-free digestion of Ti, Zr and Hf oxides.
Alternative digestion strategy for Ti, Zr and Hf oxides: eliminating hydrofluoric acid
Gerken I.; Roesslein M.; Herrmann I.; Gogos A. Analytical Methods 17, 5334 to 5342.
Why this matters: This work supports safer analytical preparation strategies for oxide nanomaterials, helping improve robust characterisation workflows.
Systematic comparison of Commercial Uranyl Alternative Stains for Negative and Positive Staining Transmission Electron Microscopy of Organic Specimens
Kissling V.; Eitner S.; Bottone D.; Cereghetti G.; Wick P. Advanced Healthcare Materials 14.
Why this matters: This work supports robust TEM sample preparation and imaging practices relevant to nanomedicine characterisation.
Adding More Shape to Nanoscale Reference Materials, LiYF:Yb,Tm Bipyramids as Standards for Sizing Methods and Particle Number Concentration
Deumer J.; Andresen E.; Gollwitzer C.; Schürmann R.; Resch Genger U. Analytical Chemistry 96, 19004 to 19011.
Why this matters: This work supports the development of shape-defined nanoscale reference materials for more comparable sizing and particle concentration measurements.
SAXS data of bipyramidal LiYF4 nanoparticles
Deumer J.; Andresen E.; Gollwitzer C.; Schürmann R.; Resch Genger U. Dataset repository.
Why this matters: This dataset provides supporting SAXS data linked to bipyramidal nanoparticle characterisation and reference material development.
Toward an international standardisation roadmap for nanomedicine
Caputo F.; Favre G.; Borchard G.; Calzolai L.; Fisicaro P.; Frejafon E.; Günday Türel N.; Koltsov D.; Minelli C.; Nelson B. C.; Parot J.; Prina Mello A.; Zou S.; Ouf F. X. Drug Delivery and Translational Research 14, 2578 to 2588.
Why this matters: This paper provides international standardisation context directly aligned with METRINO’s priorities for harmonised methods and reference materials.
Sources: records were consolidated from the
EURAMET Research Publications Repository
and the METRINO Zenodo community.
Snapshot last verified: 2 August 2026. The library will be updated when additional public METRINO outputs are released.
